Transportation Finance Company
Data lake centralizes data for reporting and advanced analytics.
A transportation finance company wanted to streamline their data for reporting and advanced analytics.
At a Glance
A transportation finance company that processes a high volume of freight invoices wanted to create a centralized repository to support a variety of analytics use cases. Credera leveraged the AWS Lake Formation suite of tools and modern data architecture best practices to create the solution. The resulting data lake updates with current transactional data in near real-time. This initiative created new avenues for enhanced analytics and provided training data for machine learning algorithms. Since releasing this data lake to production, the company has improved their enterprise reporting and created value through new data analysis.
Boosting dynamic reporting and advanced analytics.
A transportation finance company that processes a high volume of freight invoices was looking to streamline their data for reporting and advanced analytics. Credera worked to build a central data repository and ultimately utilize it to support other lines of business.
Building a data lake to centralize data.
Together with the transportation finance company, Credera conducted research on data lakes and used the AWS Platform to build different proof of concepts for the centralized data repository.
The team created a centralized Data Repository using the AWS Lake Formation suite with the below tools:
Additionally, Credera updated the company's enterprise reporting to leverage the centralized data repository.
Streamlining data reporting with a modern solution.
Through this partnership, the transportation finance company has seen improved enterprise reporting capabilities through the creation of a centralized data lake. Additional results include:
Increased analytical efficacy for the enterprise
Enabled in-house machine learning capabilities through the creation of training data sets
Support to the enterprise survey and reporting team